AN ANALYSIS OF VARIATION IN THE WAGE RATES OF PERMANENT FARM SERVANTS ACROSS DIFFERENT ZONES OF HARYANA
Bibliographic record
Abstract
There are two types of hired labour used in Haryana Agriculture i.e. permanent farm servants and casual agricultural labourers. Casual agricultural labourers are generally hired on daily basis and permanent farm servants are employed on annual basis. The permanent farm servant is key component of agricultural hired labour in Haryana. However, there is almost no official data or information about wage rates and number of permanent farm servants unlike wage rates of casual agricultural labourers as we have structured information regarding wage rates of casual agricultural labourers. The main objective of our study is to analyse the variation in the wage rates of permanent farm servants across different zones of Haryana. In closed village labour market, permanent farm servants are employed by generally big farmers for one year from May to April. The analysis of wage rates of permanent farm servants is based on the primary data of 220 randomly selected permanent farm servants from twenty-two villages of Haryana. One village is randomly selected from each district.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".